Muutke küpsiste eelistusi

Recommender Systems for Sustainability and Social Good: Second International Workshop, RecSoGood 2025, Prague, Czech Republic, September 26, 2025, Proceedings [Pehme köide]

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
  • Formaat: Paperback / softback, 170 pages, kõrgus x laius: 235x155 mm, 38 Illustrations, color; 4 Illustrations, black and white
  • Sari: Communications in Computer and Information Science
  • Ilmumisaeg: 03-Jan-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032133416
  • ISBN-13: 9783032133410
Teised raamatud teemal:
  • Pehme köide
  • Hind: 58,13 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 68,39 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 3-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
Recommender Systems for Sustainability and Social Good: Second International Workshop, RecSoGood 2025, Prague, Czech Republic, September 26, 2025, ProceedingsSuurem pilt
  • Formaat: Paperback / softback, 170 pages, kõrgus x laius: 235x155 mm, 38 Illustrations, color; 4 Illustrations, black and white
  • Sari: Communications in Computer and Information Science
  • Ilmumisaeg: 03-Jan-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032133416
  • ISBN-13: 9783032133410
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783032133410.html
Märksõnad:
This book constitutes the refereed proceedings of the Second International Workshop on Recommender Systems for Sustainability and Social Good, RecSoGood 2025, held in Prague, Czech Republic, on September 26, 2025.



The 10 full papers and 4 short papers included in this volume were carefully reviewed and selected from 35 submissions. They cover theoretical, methodological, and applied perspectives, emphasizing both the environmental and social dimensions of recommendation technology.
A Holistic View of Sustainability in Multimodal Recommender.-
Sustainability Evaluation Metrics for Recommender Systems.- Towards Greener
Choices: Decision Information Nudging for Sustainability-Aware Recommender
Explanations.- Estimating Product Carbon Footprint via Large Language Models
for Sustainable Recommender Systems.- TRUST-MH: Transparent and Responsible
User-level Semantic Tagging for Mental Health Assessment.- SERMuse: Speech
Emotion Recognition based Music Recommendation.- LLM-based Healthiness?
Analyzing the Nutritional Quality of an AI-Generated Recipe Dataset.-
Diversified Recommendations of Cultural Activities with Personalized
Determinantal Point Processes.- LLM-Powered Recommendations: a Case Study in
Renewable Energy Communities.- Mind the Gap: Urban-Rural Disparities in
Wheelchair Accessibility for POI Recommendations.- Early Explorations of
Recommender Systems for Physical Activity and Wellbeing.- E-Mealio: An
LLM-Powered Conversational Agent for Sustainable and Healthy Food
Recommendation.- Biases of Algorithmic and Editorial Recommendations in
Public Service Media.- PureBiasoMeter: Decoupling Popularity Bias from User
Fairness in LLM-Based Recommender Systems.